Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Flow Cytometry

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Bottom-Up Absorptive and Stretchable Plasmonic Tape for Field-Deployable In Vivo Fruit Safety Surveillance.

ACS sensors·2026

Same author

Mapping and engineering the human cell-cell interactome.

Nature biotechnology·2026

Same author

Integrated microfluidic biosensors: shaping the future of quantitative life sciences and on-chip molecular diagnostics.

Lab on a chip·2026

Same author

Autonomous Uncertainty Quantification for Computational Point-of-Care Sensors.

ACS nano·2026

Same author

Development of a 16-channel solid-state nanopore array platform for integrated nanopore fabrication and ionic current measurement.

Lab on a chip·2026

Same author

Space-time acoustofluidic tweezers for dynamic and selective manipulation of microparticles.

Science advances·2026

Same journal

A native sulfur deposit in Gale crater, Mars.

Science (New York, N.Y.)·2026

Same journal

Coordinated demise of harmful algal blooms.

Science (New York, N.Y.)·2026

Same journal

Genetic effects put into context.

Science (New York, N.Y.)·2026

Same journal

Bacteria share proteins to survive antibiotics.

Science (New York, N.Y.)·2026

Same journal

Impacts shaped Earth's first continents.

Science (New York, N.Y.)·2026

Same journal

Erratum for the Report "Covalently bonded single-molecule junctions with stable and reversible photoswitched conductivity" by C. Jia <i>et al</i>.

Science (New York, N.Y.)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 2, 2026

Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Published on: June 21, 2012

Comment on "Ghost cytometry".

Dino Di Carlo¹, Fumihito Arai², Keisuke Goda³

¹Department of Bioengineering, University of California, Los Angeles, CA, USA. dicarlo@ucla.edu.

Science (New York, N.Y.)

|April 20, 2019

Summary

This summary is machine-generated.

Ota et al. developed a high-speed cell imaging technique using optical masks and spatial-temporal transformation. However, the study

More Related Videos

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

Related Experiment Videos

Last Updated: May 2, 2026

Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Published on: June 21, 2012

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

Area of Science:

Biophotonics
Cellular Imaging
Flow Cytometry

Background:

High-speed imaging of cells in flow is crucial for biological research.
Existing methods often struggle with blur and low signal-to-noise ratios at high frame rates.

Purpose of the Study:

To evaluate the methodology and claims presented by Ota et al. for high-speed cell imaging and sorting.
To assess the sufficiency of experimental data supporting the reported findings.

Main Methods:

Analysis of the optical mask and spatial-temporal transformation techniques for cell imaging.
Review of the reported cell sorting rates based on imaging data.

Main Results:

The study by Ota et al. utilized pseudo-random optical masks and spatial-temporal transformation.
High-frame rate, blur-free imaging with high signal-to-noise ratio was reported.
Claimed cell sorting rates of 3000 cells per second were based on imaging data.

Conclusions:

The experimental evidence provided by Ota et al. is insufficient to substantiate their reported conclusions.
Further validation is required to support the claims of high-speed cell imaging and sorting capabilities.